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An established industry player is seeking a Machine Learning Engineer to join their dynamic team. In this role, you will leverage your expertise in machine learning to design, develop, and manage scalable ML models for high-growth organizations. You will collaborate with a diverse group of professionals, including data scientists and software developers, to deliver impactful solutions. This innovative firm promotes a culture of continuous learning and flexibility, ensuring that you can thrive while contributing to exciting projects. If you're passionate about AI and eager to make a difference, this opportunity is perfect for you.
Date: Apr 16, 2025
Job Type:Permanent
Work Model:Hybrid
Reference code:127082
Primary Location:Toronto, ON
All Available Locations:Toronto, ON
Our Purpose
At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future.
What will your typical day look like?
As a Machine Learning Operations Engineer, you will take a hands-on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will work with the team to design, develop, deploy, and manage machine learning models at scale in production for our clients.
Deloitte AI and Data, Deloitte's Artificial Intelligence (AI) practice is comprised of AI/ML experts with hands-on experience in developing and deploying AI/ML solutions to create competitive advantage for Canadian businesses.
You are someone with:
• 3+ years relevant work experience with building and automating data analytics and Machine Learning (ML) pipelines
• Good understanding of ML and AI concepts. Hands-on experience in ML model development.
• Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, MLFlow).
• Strong experience in Python used both for ML and automation tasks.
• Database and programming languages experience and data manipulation and integration skills using SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
• Experience with Kubernetes and the ecosystem of Cloud Native tools.
• Strong oral and written communication skills
• Minimum Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
The salary range for this position is $72,000 - $138,000, and individuals may be eligible to participate in our bonus program. Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.
Our promise to our people: Deloitte is where potential comes to life.
Be yourself, and more.
We are a group of talented people who want to learn, gain experience, and develop skills.
Diverse perspectives and life experiences make us better. We provide flexible working options to support you and how you can contribute.
By applying to this job you will be assessed against the Deloitte Global Talent Standards.